{"id":"W2037116664","doi":"10.1643/0045-8511(2006)2006[559:ctcasn]2.0.co;2","title":"Corrections to ‘Common and Scientific Names of Fishes from the United States, Canada, and Mexico’","year":2006,"lang":"en","type":"article","venue":"Copeia","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Fishery; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007287234,0.00004434191,0.00005821798,0.00001302448,0.0003016684,0.00001925987,0.00006939834,0.00001083725,0.0001718808],"category_scores_gemma":[0.00001679648,0.00003240549,0.000004230742,0.0001538591,0.0002657072,0.00003355884,0.0001793147,0.00002873113,0.000006595243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002090151,"about_ca_system_score_gemma":0.000005603695,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7699325,"about_ca_topic_score_gemma":0.9857243,"domain_scores_codex":[0.999642,0.0000202237,0.00006687047,0.0001227534,0.00006637942,0.00008176252],"domain_scores_gemma":[0.9997694,0.0000924215,0.00002195614,0.00009224382,0.000004124142,0.00001986046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000292795,0.000007172707,0.592356,8.67192e-7,0.000004923776,6.081909e-7,0.0001556956,0.0003480683,0.00002657373,0.00003901543,0.40691,0.0001480729],"study_design_scores_gemma":[0.00005361929,0.00001368586,0.8648358,0.000003025717,0.000009390847,1.538104e-7,0.0003312892,0.000190129,0.00008677844,0.000387401,0.1340531,0.0000356041],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947051,0.00006918054,0.00001692661,0.002338398,0.0001501303,0.00009539806,0.00003428412,0.000006634039,0.002583962],"genre_scores_gemma":[0.9963451,0.00001570517,0.00005334384,0.0007483011,0.000005151173,0.000006408482,0.00002305765,0.000002089566,0.002800868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2728569,"threshold_uncertainty_score":0.232022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00530516045912407,"score_gpt":0.1802592208896895,"score_spread":0.1749540604305654,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}